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231224s2012 xx |||||o 00| ||eng c |
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|a 10.1109/TIP.2012.2191567
|2 doi
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|a eng
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| 100 |
1 |
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|a Chang, Yueh-Lun
|e verfasserin
|4 aut
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| 245 |
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|a Network-based H.264/AVC whole frame loss visibility model and frame dropping methods
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|c 2012
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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| 500 |
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|a Date Completed 07.04.2014
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|a Date Revised 06.09.2013
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a We examine the visual effect of whole frame loss by different decoders. Whole frame losses are introduced in H.264/AVC compressed videos which are then decoded by two different decoders with different common concealment effects: frame copy and frame interpolation. The videos are seen by human observers who respond to each glitch they spot. We found that about 39% of whole frame losses of B frames are not observed by any of the subjects, and over 58% of the B frame losses are observed by 20% or fewer of the subjects. Using simple predictive features which can be calculated inside a network node with no access to the original video and no pixel level reconstruction of the frame, we developed models which can predict the visibility of whole B frame losses. The models are then used in a router to predict the visual impact of a frame loss and perform intelligent frame dropping to relieve network congestion. Dropping frames based on their visual scores proves superior to random dropping of B frames
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|a Journal Article
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1 |
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|a Lin, Ting-Lan
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Cosman, Pamela C
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 21(2012), 8 vom: 16. Aug., Seite 3353-63
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|x 1941-0042
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| 773 |
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|g volume:21
|g year:2012
|g number:8
|g day:16
|g month:08
|g pages:3353-63
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|u http://dx.doi.org/10.1109/TIP.2012.2191567
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